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58 articles for “image retrieval”
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Detection and Retrieval of Follicles in Polycystic Ovarian Syndrome (PCOS) using Image Processing Techniques
Abstract: About to 18% women of reproductive age are affected by PCOS (Poly Cystic Ovarian Syndrome), a common endocrinopathy. It is also known as PCOS (Poly Cystic Ovarian Syndrome) or Stein-Leventhal syndrome. An imbalance of woman’s female hormones like estrogen and progesterone occur which causes the infertility. There are various methods which are used to diagnose this condition but the most helpful method is the pelvic ultrasound which confirms the presence …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 1, 2016 · pp. 1–6 Read article
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Classification and Prediction of Weather Forecasting Dataset by using Artificial Neural Network
Abstract: Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 In the growing field of technology, wireless medium is playing a very important role. In this survey paper, different models which were used in the past for weather forecasting are discussed. In today’s Internet Technology, one of the most interesting model for accessing of various features. It shows how different models are important for different purposes. As it can be seen …
Published in Journal of Remote Sensing & GIS · Vol. 2, Issue 2, 2011 · pp. 1–4 Read article
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An Accuracy Improvement in Facial Verification through Siamese Neural Networks
Abstract: Due to the ever-growing number of digital photos on the Internet, the task of automatically analysing images to extract semantic content has become quite important in recent years. In order to successfully organize the photographs, image indexing and image retrieval strategies need top-notch, effective image analysis and pattern recognition algorithms that can extract relevant semantic data. Face recognition plays a critical role in a variety of real-world applications, including AI-driven …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 2, 2023 · pp. 1–9 Read article
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CBIR Using Various Approaches: A Review
Abstract: AbstractContent based image retrieval (CBIR) is important technique for finding various images from a huge amount of image database. So, picture hunt and recovery from extensive picture informational collection is difficult task. CBIR utilizes the picture visual contents for instance shading, shape and surface to list and speak to picture. In this paper, all the methods of color, texture and shape features removal is described. Researchers can combine one of …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 3, 2017 · pp. 24–30 Read article
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Ranking of Image Search by Click-Based Uniformity and Typicality
Abstract: AbstractAccording to the image search re-ranking, apart from the semantic gap and intent gap, which is the gap between the representation of user’s query and the real objective of the users, is forming a major issue in restricting the evolution of image retrieval. In order to reduce human effects, the method use image click-through data, which can be viewed as the implicative feedback from users, to help overcome the intention …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 3, 2016 · pp. 39–46 Read article
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Secure Snap: Fortifying Image Preservation with a Robust Backup System
Abstract: The importance of implementing a robust backup system lies in preserving critical files against unforeseen events such as system crashes, hardware failures, or natural disasters. Data security plays a pivotal role in safeguarding confidential and vital information. Therefore, it is imperative for backup systems to prioritize security measures. Encryption emerges as a widely adopted method in today's industry to ensure data confidentiality. This project presents a novel computer software that …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 1, 2023 · pp. 17–22 Read article
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Automatic Image Description Generation Using Deep Learning Techniques
Abstract: Automatic Image Description Generation methods are extremely useful for image retrieval, search and organization. Previous approaches either use the existing labelled dataset to compose sentences or compose a new description for the test image by exploiting available descriptions of the training images. In practice these methods have limited accuracy, hence if the most important objects in an image cannot be identified, then they cannot generate valid description. Another difficulty lies …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 6, Issue 1, 2019 · pp. 28–37 Read article
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A Survey Over Preprocessing and Similarity Matching of Trademark Images Based on Color
Abstract: Relevant retrieval from a large high dimension data set is quite cumbersome but a significant task to survive in this world of images. A company’s trademark plays an important in expansion of its business. In this paper techniques have been discussed to retrieve the trademark images on the basis of its color feature. Color is a very important part of any image. It provides strong descriptor and also helps them …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 3, 2015 · pp. 17–26 Read article
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Deep Plate: A Deep Learning Approach to Recipe Generation from Food Images
Abstract: In the deep learning era, image understanding is advancing in sophistication, encompassing both semantic interpretation and the generation of meaningful image descriptions. To achieve this, deep neural networks must undergo specific cross-model training; these networks must be both simple enough to handle a wide range of inputs and complex enough to encode the fine contextual information associated with the image. An appropriate example of the previously described picture comprehension problem …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 2, 2024 · pp. 15–22 Read article
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Secure Image Backup System
Abstract: The primary reason for developing a backup system is to save files that are important. This is done so that in case if system crashes due to any reason such as hard drive failure or natural calamities, the files can be retrieved later easily. Security is one of the essential/crucial factors when it comes to data, as this data might contain confidential as well as important information. Hence, the backup …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 1, 2022 · pp. 1–6 Read article
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Data Maneuvering Identification
Abstract: Copy-move forgery detection (CMFD) is unquestionably one of the most active research areas in the field of blind image forensics. Most existing algorithms rely on block and key-point strategies, either separately or jointly. Recent applications of deep convolutional neural network (CNN) techniques include image forensics, image hashing retrieval, and picture classification. These techniques have outperformed more conventional techniques in many areas. In this study, a brand-new convolutional neural network based …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 99–104 Read article
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Aerodynamic Analysis of Foliage Stimulated Airfoil Design for Enhanced Strength with Carbon Fibre-reinforced Polymer
Abstract: Ever since the beginning of aviation, there has been an unwavering desire to improve airfoil design in order to improve aircraft performance. This insatiable desire for improvement has driven innumerable aerodynamicists to create a diverse range of revolutionary airfoils. This research investigates a revolutionary method to airfoil design, inspired by the complicated structures and aerodynamic qualities of natural leaves. Using biomimicry, the project seeks to increase the performance and efficiency …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 560–616 Read article
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Analysis of Image Watermarking Techniques against Various Noise Attacks for Medical Images using Genetic Algorithm (GA)
Abstract: In this paper, we have presented a dual secure digital image watermarking algorithm based on discrete wavelet transforms (DWT), lifting wavelet transforms (LWT) and singular value decomposition (SVD) using genetic algorithm (GA) for medical images. The natural image is chosen as cover image and is decomposed up to three levels using discrete wavelet transform. The medical image is chosen as a watermark. The genetic algorithm is used to embed and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 3, 2015 · pp. 36–44 Read article
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Comparison Performance Analysis of Multi-Wavelet Based Watermarking Techniques for Medical Images Using Genetic Algorithm (GA)
Abstract: In this paper, the scaling factor of the watermark is the significant parameter that helps in improving the imperceptibility and robustness against attacks. The tradeoff between the imperceptibility and robustness is considered as an optimization problem and is solved by applying genetic algorithm (GA). The water marking is proposed to be implemented using a hybrid approach which encompasses discrete wavelet transforms (DWT), lifting wavelet transforms (LWT) and singular value decomposition …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 1, 2016 · pp. 15–23 Read article
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Multiclass Content-based Visual Information Retrieval using Multi Layer Perceptron and Convolution Neural Network: A Comparative Study
Abstract: Content-based visual information extraction is an area, which utilizes the computer vision methods for searching and indexing the images in image library more competently than manual annotations. Due to the exponentially increase in image database volume, there is a demand of efficient retrieval system. Deep learning-based machine vision systems have the ability to handle large amount of data efficiently than ordinary machine vision systems. This paper proposed a content-based image …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 1, 2020 · pp. 1–9 Read article
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Performance Evaluation of PCA Based Back Propagation over PCA Based Euclidian Distance for Video Images
Abstract: Key frame selection aims at reducing amount of data and retrieve information desired from a video. Video summarization aims at reducing the amount of data in order to retrieve information from a video. In this paper, we present an innovative approach for key frame selection; and a face detection and recognition from video sequence. For face detection from video, first we select the key frames and then detect multiple faces …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 1, 2016 · pp. 24–31 Read article
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Use of Irphan View in Library Membership Procedure to Process Members Photographs
Abstract: Majority of the library management softwares includes membership under circulation module. Members photograph is mandatory. LIS professionals having trouble in obtaining quality photographs of the library members in least file size, appropriate image format in minimum time to upload with library members profile. Use of free software to process members photographs has been prepared for the LIS professionals to overcome barriers in members photograph processing. It is useful for LIS …
Published in Journal of Advancements in Library Sciences · Vol. 6, Issue 1, 2019 · pp. 235–239 Read article
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Improved Double Layer Encryption Algorithm of Secret Codes in Steganography
Abstract: Steganography is the way of hiding information to secure data for safer communication to take place. It is a process where the information is hidden in another format may be an image, voice, or video. Various other different file formats can be used, like JPG, JPEG, MP3, etc., but digital images are themost popular and considered the best ones because of the frequency they provide on the Internet to the …
Published in Journal of Web Engineering & Technology · Vol. 8, Issue 1, 2021 · pp. 19–24 Read article
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Analysis of Web-Based Content of Indian Institute of Technology Libraries through Websites: A Study
Abstract: The main purpose of this study is to evaluate and analyze the content and design performance of Indian Institute of Technology (IITs) libraries' websites. This study is based on online survey and observation methods through some selected checklists/parameters and GTmatrix tools to analyze the websites' design and performances. Most of the chosen IITs' libraries' websites were very easy. They had fundamental usability features regarding general information related to the library, …
Published in Journal of Advancements in Library Sciences · Vol. 9, Issue 2, 2022 · pp. 24–33 Read article
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DOCSNAP: Integrating NLP and Computer Vision for Comprehensive Document Summarization
Abstract: Because of the exponential growth of digital content, sophisticated tools are required for effective data interpretation and administration.. This project harnesses the capabilities of the Gemini AI model developed by Google DeepMind to address the challenges of PDF summarization and image captioning. Gemini AI integrates cutting-edge algorithms, including transformer architectures, to process textual and visual data seamlessly. The project's system architecture involves modules for text and image extraction, with a …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 Read article